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Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs

Overview of attention for article published in Genome Medicine, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

twitter
38 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
70 Mendeley
Title
Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs
Published in
Genome Medicine, June 2019
DOI 10.1186/s13073-019-0650-x
Pubmed ID
Authors

Jody E. Phelan, Denise M. O’Sullivan, Diana Machado, Jorge Ramos, Yaa E. A. Oppong, Susana Campino, Justin O’Grady, Ruth McNerney, Martin L. Hibberd, Miguel Viveiros, Jim F. Huggett, Taane G. Clark

Twitter Demographics

The data shown below were collected from the profiles of 38 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 20%
Student > Ph. D. Student 14 20%
Student > Master 12 17%
Student > Doctoral Student 5 7%
Student > Postgraduate 4 6%
Other 11 16%
Unknown 10 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 21%
Biochemistry, Genetics and Molecular Biology 14 20%
Immunology and Microbiology 9 13%
Medicine and Dentistry 7 10%
Computer Science 3 4%
Other 7 10%
Unknown 15 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 February 2020.
All research outputs
#915,956
of 14,998,885 outputs
Outputs from Genome Medicine
#221
of 1,035 outputs
Outputs of similar age
#26,619
of 260,005 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 14,998,885 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 260,005 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them